What does input data drift monitoring detect? (scenario 36)
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Short Explanation and Infographic
Here's the deal — Distribution shifts in live features relative to training/reference data
Full explanation below image
Full Explanation
The correct answer is: Distribution shifts in live features relative to training/reference data. This matches standard ML/AI engineering practice for Domain 6: MLOps. Distractors confuse adjacent concepts or unsafe operational shortcuts. In production, validate with held-out data, monitoring, and governance appropriate to risk.